標題: Automated information. mining on multimedia TV news archives
作者: Lai, PS
Cheng, SS
Sun, SY
Huang, TY
Su, JM
Xu, YY
Chen, YH
Chuang, SC
Tseng, CL
Hsieh, CL
Lu, YL
Shen, YC
Chen, JR
Niel, JB
Tsai, FP
Huang, HC
Pao, HT
Fu, HC
資訊工程學系
電子工程學系及電子研究所
管理科學系
Department of Computer Science
Department of Electronics Engineering and Institute of Electronics
Department of Management Science
公開日期: 2005
摘要: This paper addresses an integrated information mining techniques for multimedia TV-news archive. The utilizes techniques from the fields of acoustic, image, and video analysis, for information retrieval on news story title, newsman and scene identification. The goal is to construct a compact yet meaningful abstraction of broadcast news video, allowing users to browse through large amounts of data in a non-linear fashion with flexibility and efficiency. By using acoustic analysis, the system can classify video into news versus commercials, with 90% accuracy on a data set of 400 hours TV-news recorded off the air from July 2003 to August of 2004. By applying speaker identification and/or image detection techniques, each news stories can be segmented with an accuracy of 96%. On screen captions or subtitles are recognized by OCR techniques to produce the text title of each news stories. The extracted title words can be used to link or to navigate more related News contents on the WWW. In cooperation with facial and scene analysis and recognition techniques, OCR results can provide users with multimodality query for specific news stories. Some experimental results are presented and discussed for the system reliability and performance evaluation and comparison.
URI: http://hdl.handle.net/11536/25501
ISBN: 3-540-28895-3
ISSN: 0302-9743
期刊: KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
Volume: 3682
起始頁: 1238
結束頁: 1244
Appears in Collections:Conferences Paper